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Time Synchronization in Wireless IMU Sensors for Accurate Gait Analysis during Running
Mid Sweden University, Faculty of Human Sciences, Department of Health Sciences (HOV). Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia.
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2023 (English)In: 2023 IEEE International Workshop on Sport, Technology and Research (STAR), IEEE conference proceedings, 2023, p. 126-129Conference paper, Published paper (Refereed)
Abstract [en]

With the advancements in wearable technology, continuous monitoring of physiological and biomechanical parameters has become possible, providing valuable insights into health and fitness. This technology allows for remote patient monitoring, medical support, and even virtual coaching. One area of focus is gait analysis, which can help reduce the risk of running-related injuries. This study aims to develop a small, lightweight, and affordable wireless sensor device for collecting gait data. The device utilizes IMU sensors positioned on the pelvis and foot to measure stability and detect changes due to fatigue during running. Precise time synchronization between the sensors and an Android phone is crucial for accurate data analysis. The study employs Bluetooth LE technology for wireless transmission and proposes a synchronization method to align the data from the asynchronous sensors. The hardware and software components of the sensor device are described, along with the synchronization process. Additionally, a pilot study involving the use of the sensors during treadmill running was performed.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2023. p. 126-129
Keywords [en]
IMU sensors, running, time synchronization, wireless sensors, Gait analysis, Patient monitoring, Physiological models, Synchronization, Wearable sensors, Biomechanical parameters, Continuous monitoring, IMU sensor, Monitoring of physiological parameters, Precise time synchronizations, Related injuries, Sensor device, Wireless sensor, Risk assessment
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-50134DOI: 10.1109/STAR58331.2023.10302652Scopus ID: 2-s2.0-85179138383ISBN: 9798350316056 (print)OAI: oai:DiVA.org:miun-50134DiVA, id: diva2:1821007
Conference
2023 IEEE International Workshop on Sport, Technology and Research, STAR 2023 - Proceedings
Available from: 2023-12-19 Created: 2023-12-19 Last updated: 2023-12-19Bibliographically approved

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Supej, Matej

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf